Performance Analytics: Why and How?
summary
The talk explains why and how to introduce performance analytics for mobile apps, focusing on choosing the right performance metrics, available tools, and common pitfalls that can skew results. It uses iOS technical examples (with relevance for Android developers) and emphasizes diagnosing issues like users abandoning the app due to slow loading rather than UX or monetization changes.
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chapters (15)
- 0:00Introduction
- 1:55What is performance analytics
- 3:41Why performance matters
- 5:27Typical analysis cases
- 10:22Satisfaction metrics
- 13:08Measuring operation time
- 18:05Time measurement errors
- 21:25Interpreting metrics
- 26:05Finding root causes
- 29:17Designing for conditions
- 36:44Measurement tools
- 40:17Common analysis mistakes
- 46:04Analytics vs profiling
- 47:06Summary and recommendations
- 51:03Q&A
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